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Dec 1, 2017 at 19:36 review Close votes
Dec 14, 2017 at 14:14
Dec 1, 2017 at 19:21 history protected gnat
Dec 1, 2017 at 17:51 answer added LxsScarredCrest timeline score: 0
Nov 19, 2016 at 16:36 history edited Thomas Owens
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Feb 19, 2014 at 20:21 comment added mattnz @SK-logic : Is 'Fad' another connection :). Not saying they are actually fads, but the hype around them is identical......
Dec 31, 2013 at 23:50 audit Suggested edits
Jan 1, 2014 at 16:35
Dec 7, 2013 at 16:21 history tweeted twitter.com/#!/StackProgrammer/status/409356969225760768
Dec 7, 2013 at 16:18 comment added SK-logic The connection between "big data" fad and FP is not that straightforward. In "Big data", a so called map-reduce approach is fashionable, which, in turn, had been somewhat inspired by the functional programming ethos. This is where similarity ends, I cannot see any further connection between these two worlds.
Dec 7, 2013 at 16:08 history edited user3047512 CC BY-SA 3.0
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Dec 7, 2013 at 15:00 answer added Shivan Dragon timeline score: 14
Dec 7, 2013 at 13:53 answer added Michael Borgwardt timeline score: 10
Dec 7, 2013 at 13:28 comment added Zavior Also notice that while testing on the JVM, just running the test once does not give in any way reliable results. You'd need to run the test case several times over so the JIT kicks in.
Dec 7, 2013 at 12:46 history edited amon CC BY-SA 3.0
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Dec 7, 2013 at 12:38 comment added Giorgio @user3047512: For example, Erlang uses the actor model and is for the most part functional.
Dec 7, 2013 at 12:28 comment added Doc Brown I guess its simply because the map/reduce approach from hadoop is an idea from functional programming.
Dec 7, 2013 at 12:27 comment added Giorgio As far as I know the actor model is quite close to functional programming.
Dec 7, 2013 at 12:13 comment added user3047512 @Giorgio : There are different paradigms as Actor Modeling to get the best performance to parallelism. Don't think so ?
Dec 7, 2013 at 12:05 comment added Giorgio Functional programming makes it easier to parallelize your code, so even if a single operation may take more time to run in one thread, the overall performance can be better due to parallelism.
Dec 7, 2013 at 12:04 answer added Lorenz Meyer timeline score: 4
Dec 7, 2013 at 11:57 review First posts
Dec 7, 2013 at 13:43
Dec 7, 2013 at 11:40 history asked user3047512 CC BY-SA 3.0